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mcp_opendaw_accent_beats

Apply velocity accents to notes based on beat position to create natural dynamics in drum patterns, basslines, and chords.

Instructions

Apply beat-aware velocity accents to notes based on their position.

Unlike apply_velocity_pattern (which cycles by note index), this determines accent strength from each note's beat position — downbeats get strong, off-beats get weak. This is how real drummers and musicians play.

Accent patterns:

  • "4/4" — beat 1 strong, 2 medium, 3 medium, 4 weak (classic rock/pop)

  • "backbeat" — beats 1+3 medium, 2+4 strong (rock, funk, soul)

  • "3/4" — beat 1 strong, 2 weak, 3 medium (waltz)

  • "6/8" — beats 1+4 strong, others weak (compound duple)

  • "off_beat" — downbeats weak, off-beats strong (syncopated, reggae skank)

  • "four_on_floor" — every quarter strong (house, techno)

Notes that fall on exact beat boundaries get accent levels. Notes between beats (e.g. 16th notes) get interpolated: closer to a strong beat → higher.

Use cases:

  • Make drum patterns feel groovy instead of flat

  • Add natural dynamics to programmed basslines

  • Emphasise downbeats in chord stabs

  • Create backbeat feel on snare/hihat

unit_index: AU index. track_index: Note track index. accent_pattern: Beat accent scheme (4/4, backbeat, 3/4, 6/8, off_beat, four_on_floor). strong_velocity: Velocity for strong beats (0-1). medium_velocity: Velocity for medium beats (0-1). weak_velocity: Velocity for weak beats (0-1). region_index: Region (-1 = first region).

Returns count of notes accented and per-level breakdown.

Example:

Backbeat feel — accent beats 2 and 4

accent_beats(0, 0, "backbeat", strong_velocity=1.0, weak_velocity=0.5)

Four-on-the-floor — every beat loud

accent_beats(0, 0, "four_on_floor", strong_velocity=0.95)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unit_indexYes
track_indexYes
region_indexNo
weak_velocityNo
accent_patternNo4/4
medium_velocityNo
strong_velocityNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite no annotations, the description clearly explains how accent strength is determined (downbeats strong, off-beats weak) and the interpolation for notes between beats. It also mentions the return value (count of notes accented and per-level breakdown), providing transparency beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-organized with sections for main functionality, differentiation, accent patterns, use cases, parameter list, and an example. Every sentence adds value, and the structure makes it easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 7 parameters and no output schema, the description covers both parameter semantics and return value ('Returns count of notes accented and per-level breakdown'). It is complete enough for an agent to understand what the tool does and what it outputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by listing each parameter with a brief explanation (e.g., 'strong_velocity: Velocity for strong beats (0-1)'). While not exhaustive, it adds sufficient meaning beyond the schema's bare types and titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('apply') and resource ('beat-aware velocity accents to notes'), clearly stating the tool's purpose. It distinguishes itself from the sibling 'apply_velocity_pattern' by explaining the difference in accent determination (beat position vs note index).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly contrasts with 'apply_velocity_pattern' and provides concrete use cases (e.g., making drum patterns groovy, adding natural dynamics to basslines). It does not explicitly state when not to use it, but the differentiation and use cases offer adequate guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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